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alwaysgood
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Model Details
Model Provider
alwaysgood
Model Tree
unsloth/Qwen3.5-4B
Input Modalities
Output Modalities
Supported Functionality
Use the latest LM Studio runtime and download the Q4_K_M variant:
bash
lms get https://huggingface.co/alwaysgood/Qwen3.5_4B_ADS@Q4_K_M
The matching mmproj file enables image input. For translation, disable
thinking and ask for translation-only output, for example:
text
Translate the following English financial text into Korean. Return only the translation.<source text>
qe_selection_order=low)qwen35_4b_it_full_lowqe_seed42fa8166a883d96460cc285b46d66b74a074b4b8d4The checkpoint does not contain the optional Qwen3.5 MTP auxiliary head even though the inherited config declares one. The GGUF export therefore excludes MTP. Normal autoregressive generation is unaffected; MTP speculative decoding is not provided.
The following scores are from the original BF16 final checkpoint on the 500-row held-out test set. They are not claimed as a separate Q4_K_M evaluation.
| Metric | Score |
|---|---|
| BLEU | 27.4731 |
| chrF | 47.9918 |
COMET (wmt22-comet-da) | 0.8906 |
COMETKiwi (wmt22-cometkiwi-da) | 0.8565 |
| XCOMET-XXL | 0.8675 |
| MetricX-24 Hybrid XXL (lower is better) | 3.8712 |
Full evaluation records and configuration are available in the linked run.
The model weights follow the Apache-2.0 license of the base model. The training
corpus aggregates sources with mixed upstream terms; the dataset card is marked
license: other. Users are responsible for reviewing the source-specific terms
described in alwaysgood/financial-english-source-corpus.